Viscometric Behaviour of Viscosity‐Index Improvers in Lubricant Base Oil over a Wide Temperature Range: II. Polyalphaolefin Synthetic Base Oil
Bibliographic record
Abstract
A polyalphaolefin (PAO) synthetic base oil was used to solvate four polymers known to be viscosity‐index improvers in lubricants, these being an olefin copolymer (OCP), a dispersant olefin copolymer (DOCP), a polymethacrylate (PMA), and a hydrogenated diene polymer (HDP). The kinematic viscosity and density data for each polymer were measured at five concentrations (0.1, 0.2, 0.3, 0.5, and 0.7% by mass) by capillary viscometry over the temperature range −20 to 150°C. The data were analysed using the Huggins equation. When compared to an earlier study using a hydroprocessed (Group II) base oil, the thickening efficiencies of the polymers were generally lower in PAO, which was mainly attributed to the weaker intermolecular hydrodynamic interactions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".